Trichoscopy for Common Hair Loss Diseases: Algorithmic Method for Diagnosis

    December 2010 in “ The Journal of Dermatology
    Shigeki Inui
    Image of study
    TLDR The conclusion is that an algorithm using trichoscopy helps diagnose different types of hair loss but may need updates and a biopsy if results are unclear.
    The document from 2010 discusses trichoscopy, a diagnostic tool for hair loss diseases, and introduces an algorithmic approach based on trichoscopic signs. It outlines specific features for alopecia areata (AA), such as black dots and exclamation mark hairs; for androgenetic alopecia (AGA), including hair diameter diversity (HDD) over 20% and yellow dots; and for cicatricial alopecia (CA), characterized by the absence of follicular orifices and signs like perifollicular erythema. The proposed algorithm aids clinicians in diagnosis, with a biopsy recommended when there is a discrepancy between clinical and trichoscopic findings. The document acknowledges that this method is for typical cases and may need future updates.
    Discuss this study in the Community →

    Research cited in this study

    8 / 8 results

    Related Community Posts Join

    6 / 33 results

    Related Research

    3 / 3 results